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. This innovation will help optimize therapeutic strategies, reduce unnecessary treatments, and improve patient quality of life. The postdoctoral researcher will contribute to the development and validation
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, the candidate will work on optimizing the fusion process of optical fibers made of dissimilar materials (silica/fluoride glass), or of the same fluoride glass material but with different geometries (passive fiber
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for complex mixture analysis and metabolomics. The project aims at optimizing, for such analytical applications, a new cryogen-consumption free dissolution DNP system that will be installed in CEISAM in
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fabrication of skyrmion-based spintronic devices and their electrical and magnetic characterization. - optimization of magnetic layers. Characterization of magnetic properties - Nanofabrication of spintronic
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. Optimization of surface chemistry. Characterization of chiral objects after deposition using spectrometric and piezoelectric techniques. The aim is to control the deposition and properties of chiral objects
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their formation, and the process optimization in relation to the target applications. Another key challenge relies on the source of energy for the graphitization. The conventional heating during the catalytic
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of new ligands and structure-based optimization • Molecular simulations of transmembrane proteins and their interactions with ligands and functional partners • Analysis of the conformational dynamics
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phenotypes • Analyze images and other data • Optimize induced pluripotent stem cell (iPSC) protocols • Disseminate and enhance research findings • Establish standard operating procedures (SOPs) This project is
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artificial intelligence, to optimize conditions. This project is funded under the Emergence@INC 2025 program (https://www.inc.cnrs.fr/fr/personne/yassine-kadmi ). -Development of a new, simple, rapid, and
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goal of this project is to design and optimize a novel adsorbent-electrode capable of simultaneously capturing and mineralizing PFAS in a sustainable one-pot process. - Synthesize and characterize